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Table of contents for learning data science
I am trying to make a list of relevant knowledge topics for up and coming data scientists/ enthusiasts. I am going through the process myself, and made this list as my syllabus. This is as far as I have come. I note that some topics still need to be fleshed out more with additional sub-levels (e.g.: statistics section). Can you help me by expanding it?
Thanks in advance!
Concepts to grasp: Object-oriented programming
- Bash (not object-oriented, required for shell scripting)